基于改进的AdaBoost人脸检测算法的研究

Research on Face Detection Based on Improved AdaBoost Algorithm

人脸检测是计算机视觉领域的基础研究,在视频监控、自动人脸识别等领域有着重要应用价值。针对传统的AdaBoost算法用于人脸检测时需要的特征数目多、检测速度慢的问题,提出一种基于改进的AdaBoost人脸检测算法。实验结果表明,相对于传统的AdaBoost人脸检测算法,该算法使用较少的特征即可达到较高的检测准确率,检测速度得到显著提高。

Face detection is a fundamental research theme in the topic of computer vision,and it has a broad application in many fields such as video surveillance ,automatic face recognition ,etc. To improve the detection speed of AdaBoost based face detection algorithm, proposes a rapid im- proved AdaBoost based face detection algorithm. Experiments shows that, compared with the current algorithm less features are selected in the inspection, and a high detection correct rate is achieved with the proposed algorithm.